Robust failure, conservative repair: textual knowledge distillation from cross-model failures
Read the original at arxiv.org→arXiv:2609.25400v1 Announce Type: new Abstract: Failure-based textual knowledge distillation aims to discover gaps in a model's knowledge by examining its task errors. The distilled knowledge can be useful for the...
Original headline: "Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures"
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- Sep 23, 04:00 UTC arXiv cs.AI lead source Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures